A Node.js and Express.js backend API to manage hotel data, including adding, updating, retrieving hotel details, and uploading images. This API uses a JSON file as a data store and includes unit te…

Implemented a smart glasses project for the visually impaired, using advanced IoT technologies without Arduino. The system offers real-time feedback and navigation assistance, with comprehensive do…

In this ML project, I proposed a methodology that provided an outperformed performance compared to another existing paper. For the comparison here focused mainly on F1, accuracy, AUC, and ROC score…

In this project, we implemented an ensemble learning approach using majority voting (hard voting) with five machine learning classifiers: DT, RF, XGBC, ANN, and KNN. The ensemble model achieved an …

This project delivers a fast and efficient fraud detection methodology, providing predictions in under a second, emphasizing the importance of both high performance and quick response times.

Implemented XAI techniques to enhance transparency in fraud detection models. I employed techniques such as SHAP, LIME on DT, RF, XGBC, and KNN to offer lucid explanations for transactions that wer…